Energy Management

The GPG program has commissioned Department of Energy National Laboratories to perform real-world measurement and verification of the following technologies in pilot installations in federally-owned buildings. Preliminary technology assessments are available below as PDFs.

Preliminary Technology Assessments

In the News: From the 2017 Program Lineup

Adaptive Control for Chilled Water Plants [PDF - 186 KB] This technology optimizes the operation of central plant cooling systems by using an adaptive control algorithm to achieve efficiencies across a building’s entire chilled water system, including chillers, air handling units, fan coils, and other distribution equipment. This technology claims to represent a significant improvement over the current state-of-the-art, which uses modeling, rather than real-time information, to optimize operations. GPG test-bed measurement and verification: Charles F. Prevedel Federal Building in Overland, MO.

Circuit-Level Energy Monitoring [PDF - 213 KB] This technology analyzes energy use in real time on a circuit-by-circuit basis. Compared to traditional submetering, the data delivered is more granular and installation promises to be less costly. Findings available 2018.

Predictive HVAC Optimization [PDF - 216 KB] This cloud-based software layers weather and building-use data on top of existing building automation systems to optimize HVAC operational strategies per each 24-hour period. This evaluation will be hosted as a joint effort with the Department of Energy. Findings available 2018.

Wireless Sensors and Analytics [PDF - 217 KB] This technology tests the promise of the Internet of Things (IoT) by using relatively inexpensive and easy-to-install wireless, lighting-fixture-based sensors that detect and record changes in occupancy, temperature, visible light, infrared radiation, and LED power consumption. Findings available 2018.

The GPG program enables GSA to make sound investment decisions in next generation building technologies based on their real world performance.

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